Extended Data Fig. 8: Reward and non-reward prediction neurons across areas.
From: Unsupervised pretraining in biological neural networks
a, (left) Percentage of reward-selective neurons before and after learning across all regions. (right) Increase in fraction of selective neurons (task mice: n=4 mice; unsupervised: n=9 mice). b, Distribution of non-reward prediction neurons, defined as neurons with a \({d}_{{\rm{late\; vs\; early}}}^{{\prime} }\ge 0.3\) computed from the circle1 corridor trials, which are non-rewarding. c, Summary of changes from before to after learning for the non-reward prediction neurons. d, Reward prediction neuron average response aligned to the sound cue for all four corridors in the test1 session. e,f, Running speed and licking rate respectively, aligned to sound cue. All data are mean ± s.e.m. *P <0.05, **P <0.01.
